CoreKB is a web-based platform enabling users to search for reliable scientific facts concerning gene expression-cancer associations over a medical Knowledge Base (KB). CoreKB provides a streamlined interface for searching either using natural language queries or by exploiting structured facets providing autocomplete facilities. It is designed to simplify information access and search of scientific facts targeting healthcare stakeholders (i.e., clinicians, physicians, and researchers). CoreKB aims at presenting the user a comprehensive overview of the scientific evidence supporting a medical fact, fully connected with ontology-based entities and well-defined literature resources. In addition, CoreKB provides the user a quantitative comparison of the possible gene-cancer associations related to a specific fact, thus enabling users to assess the degree of agreement among the evidence support.

CoreKB: A Web-based Platform for Searching Reliable Facts over a Medical Knowledge Base

Giachelle F.;Marchesin S.;Silvello G.;
2023

Abstract

CoreKB is a web-based platform enabling users to search for reliable scientific facts concerning gene expression-cancer associations over a medical Knowledge Base (KB). CoreKB provides a streamlined interface for searching either using natural language queries or by exploiting structured facets providing autocomplete facilities. It is designed to simplify information access and search of scientific facts targeting healthcare stakeholders (i.e., clinicians, physicians, and researchers). CoreKB aims at presenting the user a comprehensive overview of the scientific evidence supporting a medical fact, fully connected with ontology-based entities and well-defined literature resources. In addition, CoreKB provides the user a quantitative comparison of the possible gene-cancer associations related to a specific fact, thus enabling users to assess the degree of agreement among the evidence support.
2023
Proceedings of the 31st Symposium on Advanced Database System, July 02–05, 2023, Galzignano Terme, Padua, Italy
31st Symposium of Advanced Database Systems, SEBD 2023
File in questo prodotto:
File Dimensione Formato  
paper44.pdf

accesso aperto

Tipologia: Published (publisher's version)
Licenza: Creative commons
Dimensione 3.57 MB
Formato Adobe PDF
3.57 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3508110
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact